1. Joint Modeling
1.1 Trace plots for convergence check
The current MCMC setting is:
- 300000 iteration;
- 200000 burn-in;
- 100 thinning.
1.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 0.999 1.00
## LDevsum 1.005 1.03
## dl0 1.088 1.34
## dl1 1.172 1.60
##
## Multivariate psrf
##
## 1.12
1.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
1.4 WAIC results
| LevelH | LevelL | |
|---|---|---|
| DIC | 1137.78105 | 22532.178 |
| DIC3 | 1111.14661 | 22629.547 |
| PWAIC | 21.37923 | 199.695 |
| WAIC | 1121.27928 | 22642.601 |
2. Separate Modeling of High-Level
2.1 Trace plots for convergence check
The current MCMC setting is:
- 300000 iteration;
- 200000 burn-in;
- 100 thinning.
2.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## HDevsum 0.999 1
##
## Multivariate psrf
##
## Not available
2.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
2.4 WAIC results
| H0 | |
|---|---|
| DIC | 1137.78105 |
| DIC3 | 1111.14661 |
| PWAIC | 21.37923 |
| WAIC | 1121.27928 |
3. Separate Modeling for Low-level
3.1 Trace plots for convergence check
The current MCMC setting is:
- 300000 iteration;
- 200000 burn-in;
- 100 thinning.
3.2 Gelman and Rubin’s convergence check
## Potential scale reduction factors:
##
## Point est. Upper C.I.
## Devsum 1.00 1.02
## LDevsum 1.00 1.03
## dl0 1.09 1.34
## dl1 1.17 1.60
##
## Multivariate psrf
##
## 1.12
3.3 ACF Plots
Here we plotted ACF plots for the following variables:
- Total deviance;
- Variables that didn’t pass the convergence check.
3.4 WAIC results
| L1 | |
|---|---|
| DIC | 22532.178 |
| DIC3 | 22629.547 |
| PWAIC | 199.695 |
| WAIC | 22642.601 |